iPhone 13 Pro Max
Geekbench AI Score
3188
Single Precision Score
5687
Half Precision Score
4586
Quantized Score
Geekbench AI 1.4.0 for iOS AArch64
Result Information
| User | Miroslav_Buryak |
| Upload Date | August 11 2025 02:20 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple A15 Bionic |
| System Information | |
|---|---|
| Operating System | iOS 18.6 |
| Model | iPhone 13 Pro Max |
| Model ID | iPhone14,3 |
| Motherboard | D64AP |
| CPU Information | |
|---|---|
| Name | Apple A15 Bionic |
| Topology | 1 Processor, 6 Cores |
| Identifier | ARM |
| Base Frequency | 3.23 GHz |
| Cluster 1 | 2 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 5.51 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1340
249.2 IPS |
|
|
Image Classification (HP)
|
100% |
2365
439.8 IPS |
|
|
Image Classification (Q)
|
96% |
1626
303.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
1258
20.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1947
31.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
2396
38.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
6076
7.09 IPS |
|
|
Pose Estimation (HP)
|
100% |
14037
16.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
11641
13.6 IPS |
|
|
Object Detection (SP)
|
100% |
1373
108.9 IPS |
|
|
Object Detection (HP)
|
97% |
2697
214.7 IPS |
|
|
Object Detection (Q)
|
94% |
1916
152.8 IPS |
|
|
Face Detection (SP)
|
100% |
2621
31.1 IPS |
|
|
Face Detection (HP)
|
100% |
5521
65.6 IPS |
|
|
Face Detection (Q)
|
100% |
3071
36.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
5209
40.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
10435
80.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7230
56.5 IPS |
|
|
Style Transfer (SP)
|
100% |
16705
21.5 IPS |
|
|
Style Transfer (HP)
|
100% |
27711
35.6 IPS |
|
|
Style Transfer (Q)
|
96% |
22070
28.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3815
140.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4775
176.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3571
131.9 IPS |
|
|
Text Classification (SP)
|
100% |
2468
3.29 KIPS |
|
|
Text Classification (HP)
|
100% |
4341
5.79 KIPS |
|
|
Text Classification (Q)
|
93% |
4266
5.73 KIPS |
|
|
Machine Translation (SP)
|
100% |
3595
61.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6144
106.2 IPS |
|
|
Machine Translation (Q)
|
98% |
6353
109.8 IPS |
